Job Description
Join the Architects of the Future.
We are Nexus Horizon Systems, a premier technology firm pioneering the breakthroughs set to define the year 2026. We are looking for a visionary Director of Generative AI to lead our research division. In this role, you won't just build algorithms; you will engineer the intelligence that will power the next generation of human-computer interaction.
If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and multimodal AI, and you thrive in a high-performance, elite environment, we want to meet you.
Why Nexus Horizon?
- Work on cutting-edge projects that directly impact the roadmap for 2026.
- Competitive compensation package including equity options.
- Flexible remote-first hybrid policy with state-of-the-art offices in San Francisco.
- Access to top-tier talent and resources.
Responsibilities
- Strategic Leadership: Define and execute the long-term vision for the AI research department, aligning technical goals with business objectives for the upcoming decade.
- Model Architecture: Design and deploy advanced Generative AI models, including LLMs and diffusion models, focusing on scalability, accuracy, and ethical alignment.
- R&D Oversight: Lead a team of senior data scientists and engineers in exploring novel AI architectures and novel reinforcement learning techniques.
- Cross-Functional Collaboration: Partner with product and engineering teams to integrate AI solutions seamlessly into consumer-facing platforms.
- Performance Optimization: Oversee the optimization of inference pipelines and training clusters to ensure real-time responsiveness.
- Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and compliance with emerging regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: Minimum of 8+ years of experience in AI/ML, with at least 3 years in a leadership or senior architecture role.
- Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow. Proven experience with transformer architectures and fine-tuning large-scale models.
- Problem Solving: Exceptional ability to tackle complex, ambiguous problems and derive actionable insights from massive datasets.
- Communication: Outstanding verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.
- Passion: A genuine passion for the future of technology and a track record of innovation in the AI space.